Instructions to use SZLHOLDINGS/chaski-r2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use SZLHOLDINGS/chaski-r2 with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-0.8B")
model = PeftModel.from_pretrained(base_model, "SZLHOLDINGS/chaski-r2")

Transformers

How to use SZLHOLDINGS/chaski-r2 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="SZLHOLDINGS/chaski-r2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("SZLHOLDINGS/chaski-r2")
model = AutoModelForCausalLM.from_pretrained("SZLHOLDINGS/chaski-r2", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use SZLHOLDINGS/chaski-r2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "SZLHOLDINGS/chaski-r2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SZLHOLDINGS/chaski-r2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/SZLHOLDINGS/chaski-r2

SGLang

How to use SZLHOLDINGS/chaski-r2 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "SZLHOLDINGS/chaski-r2" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SZLHOLDINGS/chaski-r2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "SZLHOLDINGS/chaski-r2" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "SZLHOLDINGS/chaski-r2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use SZLHOLDINGS/chaski-r2 with Docker Model Runner:
```
docker model run hf.co/SZLHOLDINGS/chaski-r2
```

betterwithage commited on Aug 29

Commit

0fca55a

verified ·

1 Parent(s): e88d921

docs: stamp WEIGHTS UNAVAILABLE — reserved SKU, not a checkpoint

Browse files

Files changed (1) hide show

README.md +39 -0

README.md ADDED Viewed

	@@ -0,0 +1,39 @@

+---
+license: apache-2.0
+tags:
+  - not-a-checkpoint
+  - reserved-sku
+  - szl-holdings
+  - chaski
+szl:
+  doctrine: v11-LOCKED
+  lean: "749/14/163"
+  lambda: "Conjecture 1 — advisory, never a theorem"
+  artifact_class: RECIPE
+  weights: UNAVAILABLE
+  jobs: UNAVAILABLE
+  evals: none-this-run
+  publication_eligible: false
+  atelier_lock: true
+  does_not_overwrite: SZLHOLDINGS/chaski
+  forbidden_5050: SZLHOLDINGS/chaski-5050
+  canonical_base: Qwen/Qwen3.5-0.8B
+---
+# chaski-r2 — WEIGHTS UNAVAILABLE
+**Reserved SKU. Not a checkpoint.** Do not `from_pretrained` this ID.
+| | |
+|---|---|
+| **Weights** | **UNAVAILABLE** — no `adapter_model.safetensors`, no GGUF |
+| **Jobs** | **UNAVAILABLE** |
+| **Evals** | none-this-run |
+| **publication_eligible** | false |
+| **Base (prose only)** | `Qwen/Qwen3.5-0.8B` |
+| **Does not overwrite** | [`SZLHOLDINGS/chaski`](https://huggingface.co/SZLHOLDINGS/chaski) |
+| **Not** | [`SZLHOLDINGS/chaski-5050`](https://huggingface.co/SZLHOLDINGS/chaski-5050) |
+`train_chaski_r2.py` on this repo is a job recipe, not a trained adapter. GitHub kit: `szl-holdings/szl-forge` `chaski_r2/` (ATELIER lock; that checkout does not PUT Hub).
+Λ = Conjecture 1 (advisory, never a theorem). Doctrine v11 LOCKED.